When talking about automation for Oracle Database Administration, besides automation of software installation and patching, with the use of techniques from machine learning, we can also try to automate a few other tasks. This is especially true since it is…

Amazon SageMaker and Google Datalab have fully managed cloud Jupyter notebooks for designing and developing machine learning and deep learning models by leveraging serverless cloud engines. However, as much as they have in common, there are key differences between the…

My previous blog post considered what we can learn about learning by watching computers master video games. What’s interesting is that the computer in that case wasn’t an “expert” at video games. It hadn’t made a comprehensive study of all…

In our first blog post in this series we looked at the difference between machine memorization and machine learning. So what does that learning look like in action, and what are the implications for data science? There was a great…

Artificial intelligence, machine learning and data science are all terms that get thrown around a lot these days. While it’s easy to get into hair-splitting arguments about the distinctions between them, really they refer to the same thing: teaching machines…

Flagged as a mega trend for 2017 and beyond, Artificial Intelligence (AI) is a term we often hear, but what is it, really? Gartner’s definition is this: Artificial Intelligence is technology that appears to emulate human performance typically by learning, coming…

Joining us today we have my esteemed colleague Paul Spiegelhalter. Paul is a data scientist and machine learning specialist with expertise in predictive analytics and algorithmic modeling across a number of industries, including computer vision, online advertising and user analysis,…

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